Your data. Your store.
This is both a functional app and a creative commentary on data, privacy and identity.
Having spent my career across creative and technical marketing, I thought it would be interesting to apply hyper-personalisation to a singular consumer -- myself. Same tools, same depth of data capture, but purely for my own benefit.
2,847
data points
All yours.
6
live sources
Zero third parties.
41
items curated
Every one matched.
0
brands paid
Not one.
The tools that build everything else.
The ritual. Optimised.
Every ride tracked. Every upgrade earned.
Data-driven distance. Algorithm-matched gear.
Shaped by the ocean. Curated by the algorithm.
The invisible essentials.
The only user who does not read the algorithm.
The uniform. Refined over years of data.
Where the data is generated.
What the algorithm hears, translated to gear.
Algorithm-surfaced. Taste-approved.
The inputs that shape the outputs.
Screen time the algorithm does not judge.
Where the data says you belong.
What the algorithm cannot quantify.
Spotify data feeds the taste graph. Listening patterns surface product recommendations -- late-night lo-fi sessions triggered the ambient lighting recommendation. High-BPM cycling playlists correlate with gear upgrades.
Algorithm extraction
6.2h
daily avg
73%
instrumental
11pm-2am
peak hours
High instrumental ratio + late-night peak = deep work pattern. The algorithm used this to surface noise-cancelling headphones (correct), ambient lighting (correct), and a meditation app (wrong -- the listening is the meditation).
It runs as a website. Keep it private, use it as a personal reference for what you own and what you might want next.
git clone the entire codebase. MIT licensed.
Edit data/products.ts with your things. Photograph your stuff.
Start with Level 1 manual imports. Export from Spotify, Strava, Instagram, Claude.
vercel deploy -- free hosting, free SSL, instant.